About the CCL
We design software that enables our collaborators to easily harness large scale distributed systems such as clusters, clouds, and grids. We perform fundamental computer science research that enables new discoveries through computing in fields such as physics, chemistry, bioinformatics, biometrics, and data mining.CCL News and Blog
- Predicting Resources of Tasks in Dynamic Workflows with Bucketing Algorithms at IPDPS 2024 (04 Mar 2024)
- TaskVine at the HEP Analysis Grand Challenge (04 Mar 2024)
- CCTools 7.8.0 released (27 Feb 2024)
- Distant Futures at SC 2023 (20 Nov 2023)
- Maximizing Data Utility at HPPSS/SC 2023 (20 Nov 2023)
- TaskVine Paper at WORKS/SC 2023 (14 Nov 2023)
- CCTools 7.7.0 Released (03 Oct 2023)
- CCTools 7.6.1 Released (24 Jul 2023)
- CCTools 7.6.0 Released (07 Jul 2023)
- (more news)
Community Highlight
The Biomolecular Engineering Lab at UT-Austin routinely requires large scale molecular dynamics for predicting ligand-protein binding affinity. The lab makes use of the Cooperative Computing Tools to build and run a variety of distributed applications on their 124 node, 75 GPU cluster. Custom Work Queue applications are run on the cluster for months at a time to generate large amounts of ab-initio data to parameterize the AMOEBA model for small molecules, and perform single-point computations via Poltype 2. In addition, the lab makes use of the ForceBalance application built on Work Queue for liquid property fitting for Van der Waals parameter refinement.
